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Mapping copy number variation by population-scale genome sequencing
Authors:Mills Ryan E  Walter Klaudia  Stewart Chip  Handsaker Robert E  Chen Ken  Alkan Can  Abyzov Alexej  Yoon Seungtai Chris  Ye Kai  Cheetham R Keira  Chinwalla Asif  Conrad Donald F  Fu Yutao  Grubert Fabian  Hajirasouliha Iman  Hormozdiari Fereydoun  Iakoucheva Lilia M  Iqbal Zamin  Kang Shuli  Kidd Jeffrey M  Konkel Miriam K  Korn Joshua  Khurana Ekta  Kural Deniz  Lam Hugo Y K  Leng Jing  Li Ruiqiang  Li Yingrui  Lin Chang-Yun  Luo Ruibang  Mu Xinmeng Jasmine  Nemesh James  Peckham Heather E  Rausch Tobias  Scally Aylwyn  Shi Xinghua  Stromberg Michael P  Stütz Adrian M  Urban Alexander Eckehart  Walker Jerilyn A  Wu Jiantao
Institution:Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Abstract:Genomic structural variants (SVs) are abundant in humans, differing from other forms of variation in extent, origin and functional impact. Despite progress in SV characterization, the nucleotide resolution architecture of most SVs remains unknown. We constructed a map of unbalanced SVs (that is, copy number variants) based on whole genome DNA sequencing data from 185 human genomes, integrating evidence from complementary SV discovery approaches with extensive experimental validations. Our map encompassed 22,025 deletions and 6,000 additional SVs, including insertions and tandem duplications. Most SVs (53%) were mapped to nucleotide resolution, which facilitated analysing their origin and functional impact. We examined numerous whole and partial gene deletions with a genotyping approach and observed a depletion of gene disruptions amongst high frequency deletions. Furthermore, we observed differences in the size spectra of SVs originating from distinct formation mechanisms, and constructed a map of SV hotspots formed by common mechanisms. Our analytical framework and SV map serves as a resource for sequencing-based association studies.
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